title: Testing measurement invariance of the patient-reported outcomes measurement information system pain behaviors score between the US general population sample and a sample of individuals with chronic pain.
abstract: OBJECTIVE
  In order to test the difference between group means, the construct measured must have the same meaning for all groups under investigation. This study examined the measurement invariance of responses to the patient-reported outcomes measurement information system (PROMIS) pain behavior (PB) item bank in two samples: the PROMIS calibration sample (Wave 1, N = 426) and a sample recruited from the American Chronic Pain Association (ACPA, N = 750). The ACPA data were collected to increase the number of participants with higher levels of pain.
  
  
  METHODS
  Multi-group confirmatory factor analysis (MG-CFA) and two item response theory (IRT)-based differential item functioning (DIF) approaches were employed to evaluate the existence of measurement invariance.
  
  
  RESULTS
  MG-CFA results supported metric invariance of the PROMIS-PB, indicating unstandardized factor loadings with equal across samples. DIF analyses revealed that impact of 6 DIF items was negligible.
  
  
  CONCLUSIONS
  Based on the results of both MG-CFA and IRT-based DIF approaches, we recommend retaining the original parameter estimates obtained from the combined samples based on the results of MG-CFA.
authors.affiliation: Department of Education, Chungnam National University, 99 Daehak-ro, Yuseon-gu, Daejeon, 305-764, Korea, hyewonchung7@gmail.com.
authors.forename: Hyewon
authors.initials: H
authors.lastname: Chung
authors.forename: Jiseon
authors.initials: J
authors.lastname: Kim
authors.forename: Karon F
authors.initials: KF
authors.lastname: Cook
authors.forename: Robert L
authors.initials: RL
authors.lastname: Askew
authors.forename: Dennis A
authors.initials: DA
authors.lastname: Revicki
authors.forename: Dagmar
authors.initials: D
authors.lastname: Amtmann
mesh_terms: D000328:Adult; D059350:Chronic Pain / Q000208:ethnology / Q000523:psychology*; D004192:Discrimination, Psychological; D005163:Factor Analysis, Statistical; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D007256:Information Systems; D016015:Logistic Models; D008297:Male; D017063:Outcome Assessment, Health Care; D010147:Pain Measurement; D011159:Population Surveillance; D011594:Psychometrics / Q000379:methods; D011788:Quality of Life; D057566:Self Report; D014481:United States; D055815:Young Adult